What do developers know about machine learning: a study of ML discussions on StackOverflow

• Author(s) / Creator(s)

  • Bangash, A.A.
  • Sahar, H.
  • Chowdhury, S.
  • Wong, A.W.
  • Hindle, Abram
  • Ali, K.

• Machine learning, a branch of Artificial Intelligence, is now popular in software engineering community and is successfully used for problems like bug prediction, and software development effort estimation. Developers' understanding of machine learning, however, is not clear, and we require investigation to understand what educators should focus on, and how different online programming discussion communities can be more helpful. We conduct a study on Stack Overflow (SO) machine learning related posts using the SOTorrent dataset. We found that some machine learning topics are significantly more discussed than others, and others need more attention. We also found that topic generation with Latent Dirichlet Allocation (LDA) can suggest more appropriate tags that can make a machine learning post more visible and thus can help in receiving immediate feedback from sites like SO.

• Date created

  2019

• Subjects / Keywords

  • stackoverflow
  • machine learning
  • topic modeling

• Type of Item

  Conference/Workshop Presentation

• DOI

  https://doi.org/10.7939/r3-jdjq-t154

• License

  Attribution 4.0 International